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AVL.ThresholdImage_Hysteresis(AvlNet.Image, AvlNet.Region, float?, float?, float, AvlNet.Image)

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax


public static void ThresholdImage_Hysteresis(
	AvlNet.Image inImage,
	AvlNet.Region inRoi,
	float? inMinValue,
	float? inMaxValue,
	float inHysteresis,
	out AvlNet.Image outMonoImage
)

Parameters

inImage: Type: AvlNet.Image
inRoi: Type: AvlNet.Region
inMinValue: Type: System.Nullable<System.Single>
inMaxValue: Type: System.Nullable<System.Single>
inHysteresis: Type: System.Single
outMonoImage: Type: AvlNet.Image

Description

The operation transforms each pixel value to the maximum or minimum level thus creating binary image. The result of the transformation depends on the pixel intensity:

Pixel values in range [inMinValue, inMaxValue] are transformed to the maximum level.
Pixel values lower than inMinValue-inHysteresis or higher than inMaxValue+inHysteresis are transformed to the minimum level.
Pixel values in range [inMinValue-inHysteresis, inMinValue) or in range (inMaxValue, inMaxValue+inHysteresis] are transformed to the maximum if (and only if) in the processed image there is a path of consecutive pixels of value in range [inMinValue-inHysteresis, inMaxValue+inHysteresis] that connects the pixel being considered and any pixel with value in range [inMinValue, inMaxValue].

In the multichannel images the operation uses an average of channel values in each pixel, thus the resulting image is always monochromatic.

Examples

ThresholdImage_Hysteresis performed on the sample image with inMinValue = 110.0, inMaxValue = Nil, inHysteresis = 15.0.

Pixels of the sample image brighter than 110.0.

Pixels of the sample image brighter than 95.0.

Hardware Acceleration

This operation supports automatic parallelization for multicore and multiprocessor systems.